Method and system for locating souffle problem

Abstract

The present invention relates to a positioning method and a system of a noise problem. The method comprises that a flowing voice data in a plurality of interfaces is acquired respectively under the condition of a plurality of interfaces in the voice data flowing communication system; the respectively acquired voice data is converted into the voice data with same formats; the comparison is performed to the voice data with the same formats and a voice frame causing the noise is determined according to the comparison result; and a problem positioning is performed according to the determined abnormal frame causing the noise. The implementation method of the present invention can duly and actually detect the abnormal frame causing the noise and can duly and actually perform the problem location according to the abnormal frame, thereby improving the location accuracy of the noise problem, to improve the location efficiency of the noise problem, and to improve the serviceability of the equipment.

Description

technical field [0001] The invention relates to the technical field of network communication, in particular to a method and system for locating noise problems. Background technique [0002] With the continuous development of mobile communication technology, mobile users have higher and higher requirements on communication performance such as voice quality. Therefore, when a communication performance problem such as voice quality occurs, it is necessary to quickly locate the problem according to the noise, so as to help solve the noise problem. [0003] At present, the noise problem location methods mainly include the following two types: [0004] Method 1. Use the measurement report. [0005] Obtain the bit error rate in the measurement report. According to the bit error rate, it can be determined whether the noise is caused by the bad wireless environment, so that it can be inferred whether there is a problem with the air interface quality. [0006] Method 2: Use the voi...

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Problems solved by technology

[0009] The method can only guess whether there is a problem with the quality of the air port

And because the measurement report is a post-statistical index, therefore, it is impossible to determine which TDMA (TimeDivision Multiple Access, Time Division Multiple Access) frame the noise is caused by using the measurement report, and then it is not possible to perform the measurement on the TDMA frame causing the noise. Follow-up problem positioning

[0010] Method 2 needs to manually judge whether there is noise. Different people have different feelings about noise, which will lead to different judgment results, so that the positioning of noise problems is not accurate.

Moreover, manual participation will lead to low noise problem location efficiency, resulting in poor maintainability of equipment

In addition, the implementation principle of the voice monitoring tool is not exactly the same as that of the network equipment in the actual communication system, which further makes the positioning of the noise problem inaccurate

For example, currently commonly used voice monitoring tools can convert the voice frames of the A interface and the Abis interface into voice in real time. The existing voice monitoring tools will not discard voice frames marked as IDLE during the conversion process. However, in actual communication systems The BTS (Base Transceiver Station, Base Transceiver Station) will discard voice frames marked as IDLE

Maybe the voice frame dropped by BTS caused the noise, but the noise cannot be detected by the voice monitoring tool

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